Real World Evidence

Evidence from Real World Data can improve clinical decision making and lead to significantly reduced risks and better outcomes.

Data standardization, the key to federated analysis

The problem

The increasing amount of Real World Data, which is routinely collected by hospitals and GPs, along with data from health insurance claims, national registries and IoT solutions, provides an invaluable resource for evidence-based medicine and drug development. Great opportunities go hand in hand with great data integration challenges. These need to be resolved to better understand population health and patient journeys in order to truly practice value-based healthcare and personalized medicine.

How The Hyve can help

The Observational Health Data Sciences and Informatics (or OHDSI, pronounced "Odyssey") program is a multi-stakeholder, interdisciplinary collaboration aimed to bring out the value of health data through a common data model and large-scale analytics. Leveraging a standardized data model, with corresponding default target vocabularies, ensures data integration over multiple data sources in various formats.

This global community of researchers and practitioners, supported by key institutions and organizations in the field, bases its work on the values of Innovation, Reproducibility, Community, Collaboration, Openness, and Beneficence. In fact, OHDSI is also a suite of open-source tools. The mission of OHDSI is to improve health by empowering a community to collaboratively generate evidence that promotes better health decisions and better care.

As an active member of the OHDSI community, The Hyve advocates the adoption of OHDSI’s open-source ecosystem of tools (OMOP CDM, White Rabbit, Rabbit in a Hat, Usagi, Atlas, Achilles, Athena, Data Quality Dashboard, etc.). Specifically, we are repo owners and maintainers for White Rabbit, Rabbit in a Hat and Usagi. We offer tailored training and workshops to facilitate integration of the suite with existing technologies on premise or in a private Cloud. We support clients during the implementation of the stack and, if necessary, develop custom extensions for specific purposes.

Dealing with real-world data means interpreting large amounts of extremely heterogeneous data, stored in multiple databases built to custom design and purpose. Data harmonization at scale is one of the key challenges we tackle in our business by building and running ETL pipelines and enriching customer data with domain-relevant ontologies. Also, data standards are often bound to a software lifecycle and the prevalence of these standards is connected to the success or will of a specific IT vendor. The Hyve’s consulting services focus on open technologies and individual real-world data landscapes. Our experts can help identify how the choice for a particular data model or open-source solution would impact your data management strategies and governance plans.


The OHDSI suite is an open-source, modular solution that enables organizations to explore 360° patient journeys and turn data into evidence. The ecosystem provides a broad range of tools that cover all aspects of real world data and evidence − from data characterization to a standardized data model (OMOP CDM). This enables large scale cross-database analytics with OHDSI.

Read more


What people say about The Hyve

"The Hyve is one of Europe’s leading technology IT services providers who have established an international reputation within the biomedical informatics domain, from open standards such as OHDSI to working with FAIR principles. With their passionate leadership, they have been involved in numerous projects including the European Health Data & Evidence Network (EHDEN). I have no doubt that all of these projects have benefited greatly from their thinking, insights and hands-on expertise."

Nigel Hughes, Industry Lead at IMI EHDEN Project

"The workshops provided by The Hyve were very helpful to understand and perform all the processes needed to transform our cohort data into the common data model (OMOP) and use the cutting-edge OHDSI tools for analyzing observational studies. We are glad to have been introduced to the OHDSI real-world data platform and networks by the experts of The Hyve."

Alexis Sentís Fuster, Epidemiologist at Centre for Epidemiological Studies of Sexually Transmitted Disease and AIDS in Catalonia (CEEISCAT)

“From our collaboration with The Hyve, the open-source RADAR-base platform has been utilised in our Trial@Home solution at CHDR. Trial@Home is a platform that enables us to collect data outside the clinical setting in early stage clinical trials for drug development. This allows us to monitor pharmacodynamics in a real‑world setting and provides added value to our customers.”

Vasileios Exadaktylos, Product Manager Trials@Home at Centre for Human Drug Research (CHDR)

“We are excited to be building an open-source community around cBioPortal, and The Hyve has become an integral part of our efforts. The Hyve brings unique expertise in building open-source bioinformatics platforms, and in building bridges between academic centers and industry. We look forward to continued work together.”

Ethan Cerami, Director, Knowledge Systems Group, Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute

"A few years ago, we decided to invest in our institute-wide registry for patients and samples and make that data available to all researchers within our institute. We pursued this avenue together with The Hyve and they have been a tremendous help in developing new features, thinking about possible solutions and maintaining the platform.”

Patrick Kemmeren, Principal Investigator at Princess Máxima Center for Pediatric Oncology


We’re interested in hearing how we can tailor our services to your need.
If you are interested in our services, don't hesitate to contact us by sending an email to


Let's start collaborating

  • Our mapping experts can work with EHR, EMR, registry data and most popular commercial / claims datasets.
  • Training all the new mapping service providers in EU (EHDEN)
  • Integrating OHDS with semantic standards

Fill in the form and we will get in touch